GeoIQ - Artificial Intelligence Engineer - LLM/Computer Vision

Description :

Responsibilities :

- Design and implement AI-driven solutions across domains such as LLMs, Generative AI, NLP, and Computer Vision.

- Research, prototype, and evaluate state-of-the-art AI models and architectures for real-world applications.

- Build retrieval-augmented generation (RAG) pipelines and integrate AI models into customer-facing products.

- Work with engineers and product teams to embed AI capabilities into platforms and workflows.

- Optimise AI models for accuracy, scalability, and efficiency in production.

- Stay up to date with advancements in Generative AI, foundation models, and applied AI frameworks.

Requirements :

- Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.

- 1- 2 years of experience in building and deploying AI applications.

- Strong proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, and Scikit-learn.

- Hands-on experience with LLMs, embeddings, prompt engineering, or fine-tuning foundation models.

- Familiarity with cloud platforms (AWS, GCP, Azure)and containerization (Docker, Kubernetes a plus.

- Understanding of vector databases (Pinecone, Qdrant, Weaviate, FAISS)is desirable.

- Strong problem-solving skills with the ability to translate business needs into applied AI solutions.

- Excellent communication and cross-team collaboration skills.

- Experience with Generative AI (LLMs, diffusion models, multimodal AI).

- Familiarity with RAG, orchestration frameworks (LangChain, LlamaIndex, Haystack).

- Exposure to MLOps/AI Ops practices and CI/CD pipelines for AI workflows.

- Contributions to AI/ML open-source projects.